System and methods for automatic call initiation based on biometric data

ABSTRACT

A videoconferencing endpoint can provides a caller with the ability to make unscheduled video calls to a callee without having knowledge of dialing information of a videoconferencing endpoint where the callee is currently located. The videoconferencing endpoint searches a location database using an identity of the callee provided by the caller, where the location database can store dialing information of a videoconferencing endpoint where the callee is known to be located. The videoconferencing endpoint can collect biometric data from a user and determine the identity of the user by matching the collected biometric data to biometric data stored in a biometric database. If a match is found, the videoconferencing endpoint updates the location database such that the location database indicates the videoconferencing endpoint as the current location of the user.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No.13/231,122, filed Sep. 13, 2011, which is incorporated by referenceherein in its entirety.

The present application is related to U.S. application Ser. No.12/779,382 entitled “Method and System for Launching a ScheduledConference Based on the Presence of a Scheduled Participant,” filed May13, 2010, which is incorporated by reference herein in its entirety. Thepresent application is also related to U.S. application Ser. No.11/461,204 entitled “System and Method for using Biometrics Technologyin Conferencing,” filed Jul. 31, 2006, now U.S. Pat. No. 8,218,829,which is incorporated by reference herein in its entirety.

FIELD OF THE INVENTION

The present invention relates generally to conferencing systems, andmore particularly to initiating unscheduled video calls in aconferencing system based on biometrics.

BACKGROUND

Videoconferencing involves communication between two or morevideoconferencing terminals. Each videoconferencing terminal istypically placed within a conference room or in an office. One or moreconference participants will gather in one or more of the conferencerooms that includes a videoconferencing terminal. Subsequently, one ofthe conference participants at a near end conference room will initiatea videoconferencing call by dialing a number, e.g., an IP address,associated with one or more videoconferencing terminals of the far endconference room. Upon receiving the videoconferencing request, the farend participants will answer the call thereby approving theestablishment of a videoconferencing session. Finally, near endvideoconferencing terminal and the far end videoconferencing terminalswill establish a videoconference call allowing conference participantsto communicate with each other.

But establishing a videoconferencing session in the above manner can becumbersome. For example, all participants need to be present inpredetermined conference rooms for the videoconference call to besuccessful. If a conference participant at either the near end or farend conference room forgets the scheduled videoconference session, thenthe videoconference session will not be established. Additionally, theparticipant that establishes the videoconferencing session needs toenter the dialing number or the IP address of the far endvideoconferencing terminal. The dialing numbers and the IP addresses aregenerally long and difficult to remember. Not surprisingly, impromptuvideoconferencing sessions are difficult to set up, especially becausethe far end participants are unaware of an incoming call and the nearend participants are unaware of the location of the far endparticipants.

A solution is presented that mitigates the inconvenience due to the needfor participants to be present at predefined locations for participatingin a videoconference and the inconvenience due to remembering anddialing long dialing numbers and IP addresses for establishing avideoconference call.

SUMMARY

A videoconferencing unit provides a caller to initiate an unscheduledvideoconferencing session with a callee merely by identifying thecallee. The caller does not need to have knowledge of the dialinginformation or the location of the videoconferencing endpoint where thecallee is located. The caller can start a conversation with the calleeas if it were a face to face conversation.

The videoconference unit can receive a request for a videoconferencingcall from a caller, which request can include the name or identity ofthe callee. The videoconferencing endpoint can determine the currentlocation of the callee by accessing a location database, which caninclude identities of various users and the dialing information of avideoconferencing endpoint that a user was last known to be located. Theacquiring of dialing information of the videoconferencing endpoint ismade independent of the caller. In other words, the caller does notprovide the dialing information to the videoconferencing unit.

Each videoconferencing endpoint can include a biometric module forgenerating biometric templates from user biometrics such as imagesand/or voices of users. The templates can be stored in a biometricdatabase. Whenever the videoconferencing endpoint collects biometrics ofa user, it can access the biometric database to determine the identityof the user whose biometrics have been collected. Upon determining theidentity of the user, the videoconferencing endpoint can update thelocation database such that the current location of the identified useris now the videoconferencing endpoint. Additionally, thevideoconferencing endpoint can update the biometric database with themost recently collected biometric templates for the identified user.

The location and biometric database can be stored at a database server.In another example the location and biometric databases can bedistributed over multiple videoconferencing endpoints.

In another example, the videoconferencing endpoint can broadcast anidentity of a callee to all other videoconferencing endpoints. Each ofthe other videoconferencing endpoints can collect biometric data ofusers located in its vicinity and compare the collected biometric datawith biometric data stored in the biometric database to find a match. Ifa match is found, the videoconferencing endpoint where the callee islocated can send reply to the videoconferencing endpoint where thecaller is located with a message indicating the location of the callee.The message can also include dialing information of thevideoconferencing endpoint where the callee is located. In this case,there is no need for a stored location database as the location of thecallee is determined by communicating with all other videoconferencingendpoints.

The location database can also include alternate contact information ofthe users. If the callee is not present at a called endpoint, then thecalling endpoint can access the location database to acquire alternatecontact information of the callee. The calling endpoint can then send amessage to the callee using the alternate contact information informingthe callee of an awaiting video call. The message may also include anidentity of the caller. The calling endpoint can also periodicallyaccess the location database to check if the location of the callee hasbeen updated to another endpoint. If the callee has relocated to antherendpoint, the video call with the called endpoint can be terminated anda video call with the endpoint where the callee has relocated can beestablished.

In yet another example, the videoconference endpoint can communicatewith a multipoint control unit (MCU) over a network. The MCU can performoperations such as initiating video calls, determining locations ofcallees, generating biometrics, updating the biometric and locationdatabase, etc. on behalf of the videoconferencing endpoint. For example,the biometric module and the biometric and location database can belocated in the MCU instead of, or in addition to, being located at thevideoconferencing endpoint. Upon receiving a call request from a caller,the videoconferencing endpoint can send the request to the MCU for theMCU to determine the current location of the callee by accessing thelocation database. The MCU can establish a call with the callingvideoconferencing endpoint and the videoconferencing endpoint where thecallee is currently located. The MCU can also receive call requests formultiple callees to establish a multipoint unscheduled videoconferencesession.

BRIEF DESCRIPTION OF THE DRAWINGS

Exemplary embodiments of the present invention will be more readilyunderstood from reading the following description and by reference tothe accompanying drawings, in which:

FIG. 1 shows an exemplary system of endpoints configured to communicateover a network;

FIG. 2A depicts an exemplary endpoint that can be used by a user tocarry out unscheduled videoconferencing calls;

FIGS. 2B and 2C show exemplary block diagrams of the endpoint and thebiometric system of the endpoint;

FIG. 2D shows an exemplary block diagram of a multipoint control unitincluding a biometric system.

FIGS. 3A-3D show exemplary data structures for storing biometric andlocation data associated with users;

FIG. 3E shows an example of a server having a database that can storeall or a portion of the biometric and location data of FIGS. 3A-3D;

FIGS. 4A and 4B shows exemplary flowcharts for enrolling new users andupdating biometric and location data for enrolled users;

FIG. 4C shows a flowchart for initiating an unscheduled videoconferencecall by a user;

FIG. 5 shows an exemplary scenario depicting some of the steps shown inthe flowchart of FIG. 4C;

FIG. 6 shows an exemplary flowchart for steps taken by the endpoint ifthe callee is not present at the called endpoint; and

FIG. 7 shows and exemplary data structure that includes alternatecontact information associated with the users.

DETAILED DESCRIPTION

FIG. 1 shows a system 100 including a number of endpoints, namelyEndpoint 1 (EP 1) 101-Endpoint 5 (EP 5) 105, which can communicate witheach other over network 110. Endpoints EP1-EP5 101-105 may be situatedat various geographical locations. In one example, endpoints EP 1-EP 5101-105 can be situated at various locations within a company ororganization. For example, the endpoints can be situated in conferencerooms, offices, desktops of users/employees, etc. The company ororganization may be housed in a single building or may be spread acrossmultiple buildings in one or more cities, states, or countries. Theendpoints can also be mobile. Network 110 can be a circuit switchednetwork, a packet switched network, or a combination of the two. Network110 can have a physical layer that is wired, wireless, or a combinationof the two. Examples of network 110 are IP network, Ethernet, ATM,SONET, Fibre Channel, etc. A multipoint control unit (MCU) 106 canprovide videoconferencing between more than two participants.

FIG. 2A shows an exemplary endpoint 1 101, which can include a camera201 and a display 202. User A 203 a can use endpoint 1 101 to establishand carry out videoconferencing with one or more far end participants.Endpoint 1 101 can be a personal desktop videoconferencing system (e.g.,POLYCOM® HDX® 4000 Series), a conference room videoconferencing system(e.g., POLYCOM® HDX® 9000 Series), an immersive telepresencevideoconferencing system (e.g., POLYCOM® RealPresence™ Experience (RPX)Series), a personal digital assistant or mobile-phone (e.g., APPLE®IPHONE4®, IPAD®), a desktop, laptop, or handheld computer running avideoconferencing application (e.g., POLYCOM® CMA™ Desktop), etc.

FIG. 2B shows and exemplary block diagram of the endpoint 1 101.Endpoint 1 101 can include a video sensor 210, which can include acamera 201, or any other image capturing device. Camera 201 can captureimages in two-dimensions (2D) as well as three-dimensions (3D). An audiosensor 211 can include one or more microphones for capturing the voiceand sound of one or more users (e.g., User A 203). Loudspeakers anddisplays 212 can reproduce audio and video signals representing voiceand image of one or more far end participants. CPU 213 can include oneor more microprocessors. Communication interface 214 can include anetwork interface, wireless interface, Ethernet interface, etc. forsending and receiving communication signals to and from the network 110.Memory 218 can be volatile memory such as RAM, DRAM, SRAM, etc. Audioand video codecs 217 can include audio and video compression hardware,software or a combination of hardware and software. Audio codecs caninclude, but are not limited to, G.711, G.729, G.723, G.726, G.728, etc.Video codecs can include, but are not limited to, H.263, H.264, etc.Data storage 216 can include non-volatile memories such as FLASH memory,hard disk drive, etc. As will be discussed further below, the datastorage 216 can include biometric and location database 221. Theendpoint can access this database 221 to access user biometric data todetermine the current location of a requested user. Memory 218 and datastorage 216 can also store software applications, program instructions,and data to be executed on the endpoint 101 and in particular on CPU213. Client module 219 can provide the endpoint access to a serverlocated on the network 110. The endpoint 101 can use the client module219 to query a biometric and location server for biometric and locationinformation. Biometric system 215 can generate and match biometric dataof users of endpoint 101, as discussed in further detail below. Thebiometric system 215 and other components of the endpoint 101 cancommunicate over a common interface 220, which can be a shared memory,an addressable bus, etc.

FIG. 2C illustrates an exemplary block diagram of the biometric system215 of endpoint 101. The biometric system 215 can process biometric databased on one or more than one physiological or behavioral characteristicof the users. For example, the biometric system 215 can collect datarelated to face, voice, iris, etc. of users. In the example shown inFIG. 2C, the biometric system includes a face biometric generator 224and a voice biometric generator 225. These two biometric generators cangenerate biometric templates associated with face image and voice soundof a particular user. The face images and voice sound can be provided bythe image processor 222 and audio processor 223. Image processor 222 andaudio processor 223 can process image and voice data received from thevideo sensor 210 and the audio sensor 211. For example, image processingcan include face detection and extraction, filtering, converting fromcolor to grayscale, adjusting contrast, scaling, etc. Similarly, audioprocessing can include, for example, filtering, scaling, re-sampling,etc. Audio processor 223 and 225 can also be used for voice to textconversion. This can be used when a user wants to initiate avideoconference call by calling out the name of the other user it wouldlike to connect to.

Biometric templates generated by the face and voice biometric generators224 and 225 can be stored in the biometric and location database 221.This can be typically done during enrollment—when a user's biometric iscollected for the first time, or can be also done during updating ofbiometric data. For example, endpoint 101 may generate biometrics ofusers each time the user logs on to the endpoint, and subsequentlyupdate the generated biometric for the user on the database 221.Biometric templates can also be received by a biometric matcher 226,which compares biometric templates produced by the biometric generatorswith biometric templates stored in the database 221. Biometric matcher226 can use only face biometrics for matching, only use voice biometricsfor matching, or use both face and voice biometrics for matching. Whichof the one or more biometric is used for matching by the biometricmatcher 226 can be based on various factors such as availability of thebiometric, magnitude of confidence in matching, etc.

Biometrics system 215 may use several techniques such as KernelClass-Dependent Feature Analysis, Tensorfaces, manifold learningmethods, kernel methods, Linear Discriminant Analysis, Eigenfaces,Bayesian Intapersonal/Extrapersonal Classifier, Gabor Filter GraphMatching Algorithm, 3D face recognition algorithms, etc. for generatingand matching face templates. Furthermore, techniques such as frequencyestimation, hidden Markov models, Gaussian mixture models, matrixrepresentation, etc. can be used for generating and matching voicetemplates.

While FIG. 2C shows the biometric system 215 located at the endpoint101, in one example, the biometric system 215 can be located at the MCU106, as shown in FIG. 2D. In such an arrangement, biometric datageneration and matching can be carried out by the MCU 106 on behalf ofone or more endpoints communicating with the MCU 106 over network 110.The biometric system 215 can be coupled to video and audio modules 252and 253. The video and audio modules 252 and 253 can communicate audioand video data with endpoints 101-105. The video and audio modules 252and 253 can include encoders and decoders for encoding and decodingaudio and video data, mixers for mixing audio and video data, and otheraudio and video processing and conditioning units. Biometric system 215at the MCU 106 can receive, for example, face image and voice soundsfrom endpoint 101 via the video and audio modules and generatecorresponding biometric templates. Subsequently, the biometric system215 can perform matching and accessing the biometric and locationdatabase 221. While database 221 is shown to be located within the MCU106 the database 221 can be located anywhere in the network 110, and canbe accessed by the MCU 106 via the network interface 251. The controlmodule 254 can send the endpoint 101 any generated biometric templates,results of biometric matches, data received from the biometric andlocation database 221, etc, via network interface 251. Thus, theendpoint 101 may be relieved of the cost and processing burden ofcarrying out biometric processing locally at the endpoint 101. In yetanother example, the MCU 106 can include multiple biometric systems 215a-215 n, each biometric system 215 a-215 n associated with a separateconference. The multiple biometric systems may also be arranged suchthat one biometric system is assigned to each active videoconference.Also, the biometric system 215 may have some of its portions located inthe endpoints, while the others located in the MCU 106.

The control module 254 can control the operation of the MCU 106, like ina standard MCU. In addition, the control module 254 controls theoperation of the biometric system 215 and communicates with theendpoints 101-105 for establishment of a conference call based onbiometric data. The control module 254 can carry out enrollment andbiometric data collection, similar to the CPU 213 of endpoint 101 (FIG.2B). The control module 254, video and audio modules 252 and 253, thebiometric system 215 and the network interface 251 can be implemented insoftware, hardware, firmware, or a combination ofsoftware/hardware/firmware. Some exemplary hardware can includemicrocontrollers, microprocessors, multi-core processors, fieldprogrammable gate arrays (FPGAs), application specific integratedcircuits (ASICs), etc.

Discussion now turns to the data stored in the database 221. FIGS. 3A-3Dillustrate exemplary tables that show a format in which data pertainingto user biometrics and user locations can be stored in database 221.FIG. 3A shows a biometrics table 301 that stores biometric dataassociated with each user. Column labeled biometric data 311 storebiometric templates such as face templates, voice templates, etc., whilethe column labeled 312 can store user names. For example, row 313includes the name of “User A” and the corresponding biometric data suchas biometric templates for an image of the front face and voice signal.Similarly, rows 314 and 315 store names and corresponding biometric dataof User B and User Z. Table 301 can be populated during enrollment andupdated with new biometric templates or new biometric data.

FIG. 3B shows an exemplary dialing information table 302 that storesdialing information corresponding to one or more endpoints. For example,the column labeled Location 321 stores a list of endpoints EP 1, EP 2, .. . , EP 10. Column 322 labeled Dialing Information can store IPaddresses associated with the videoconferencing units at each endpoint.Row 323 shows IP address 112.34.10.1:2332 and IP port number associatedwith endpoint EP 1. Similarly, rows 324 and 325 show store the endpointnames and corresponding IP addresses and port numbers for endpoints EP 2and EP 10, respectively.

FIG. 3C shows a user location table 303 that indicates a current knownlocation and a last known location of a user. Column labeled UserIdentity 331 lists the names of various users. Column labeled CurrentKnown Location 332 indicates the current known location of a particularuser in column 331. Column labeled Last-Known Location 333 indicates thelast location that a user was known to be located. Row 334 shows thecurrent location of User A as being EP 2 and EP 6, respectively.Similarly, rows 335 and 336 show the current and last known locations ofUser B and User Z, respectively. The user location table 303 can beconstantly updated based upon new data indicating that a location of auser has changed.

FIG. 3D shows a user dialing information table 304 that combinesinformation from tables 302 and 303. Column labeled User Identity 341lists the identities of one or more users, while column labeled DialingInformation 342 can include dialing information of the endpoints wherethe user is currently believed to be located. The endpoint 101 canaccess information in this table to directly acquire dialing informationof the endpoint where the requested user is located. For example, if auser at the endpoint 101 wishes to begin a videoconference call withUser B, then the endpoint 101 can look up User B in table 304 anddetermine that it needs to dial 112.34.10.5:5423 (which is the dialinginformation corresponding to endpoint EP 5 105).

Information in tables 301-304 can be stored in each endpoint within thesystem 100 (FIG. 1) in the form of a distributed database. Any changesto the data at any one endpoint can be duplicated or replicated at allother endpoints.

One or more of the tables 301-304 shown in FIGS. 3A-3D can be located atone or more servers 375 (FIG. 3E) on the network 110 instead of withinthe data storage 216 on the endpoint 101. One or more endpoints withinthe system 100 can access the server 375 for biometric and locationinformation. In one example, all of the biometric and locationinformation included in tables 301-304 can be stored at database 221 inthe server 375. In such cases, an endpoint 101 can use the client module219 to send biometric data collected by the endpoint 101 to the server375, to send queries on current location of users, and to receivelocation information in response to these queries. In another example,the endpoint 101 may only store table 304 in its data storage 216, andmay query the server 375 for current location of a user not found intable 304. The server 375 can send updated location information to theendpoint periodically or whenever there is a change in the locationinformation of any user.

Discussion now turns to the operational aspects of the endpoint 101.FIG. 4A shows an exemplary flowchart for enrollment of a new user. Instep 402 the endpoint 101 can create a new entry for the user. Forexample, the endpoint 101 can create a new entry in table 301 for thenew user. In step 403, the endpoint 101 can collect biometric dataassociated with the new user. For example, the endpoint can take animage of the new user using camera 201, and generate biometric datausing the biometric system 215. Endpoint 101 can request the new user toprovide more than one image, perhaps from different angles with respectto the face, and generate more than one biometric template associatedwith the new user. Generating biometrics templates for images of theface captured from different angles can provide the endpoint with acomprehensive set of biometric data on the user. This can beadvantageous when an endpoint wants to determine the identity of a faceit has captured, where the face appears at an angle, or only the sideview of the face has been captured. The endpoint 101 can additionallycapture the voice of the new user and generate voice biometrics.Biometrics in addition to face and voice can also be collected by theendpoint 101. The endpoint 101 can also, if necessary, modify conditionssurrounding the user to improve the quality of biometric data captured.For example, the endpoint may include a light source, which is turned onduring insufficient ambient light. Endpoint 101 can also zoom into theface of the user to increase the resolution of a captured face image.For voice, endpoint 101 can employ techniques such as gain control,filtering, etc. to improve the strength and quality of the capturedvoice signal.

All generated biometric templates associated with a user can be storedin the biometric and location database (step 404). For example,biometric templates, or pointers to memory locations where the biometrictemplates are stored, can be stored in table 301. Additionally, endpointcan also update other tables 302-304 if possible. For example, if theendpoint at which the user enrollment is carried out is part of thevideoconferencing system 100 of FIG. 1, then that endpoint would be thecurrent location of the user. Therefore, the endpoint 101 can updatetable 303 and table 304 with the relevant information. Alternatively, incases where a portion of or the complete biometric and location database221 is located at the server 375 the endpoint 101 may only sendinformation such as biometric templates, identity of the user, identityof the endpoint where the biometric was collected, etc.

FIG. 4B illustrates an updating operation of the endpoint 101. One ormore endpoints 101-105 in FIG. 1 can monitor the movement of users. Forexample, FIG. 4B shows a flowchart of the steps carried out by endpoint101 in monitoring users that are captured either by its camera or by itsmicrophone. In step 405, endpoint 101 can collect biometrics bycapturing images of faces or voices of users. Biometrics such as imagesand voices can be captured for biometric template generation in variousscenarios. For example, the endpoint 101 can capture biometrics eachtime a user logs on to his/her desktop computer. In another example, theendpoint 101 can collect biometrics and generate biometric templatesevery fixed amount of time (say every 10 mins.). In yet another example,the endpoint 101 can include a motion detector coupled to the CPU 123,and the endpoint 101 can be triggered to collect biometrics when it themotion detector detects movement by a user, e.g., a user entering theroom in which the endpoint 101 is placed.

In step 406 the endpoint 101 can generate biometric templates using thebiometric system 215 (FIG. 1). In step 407, the endpoint 101 can matchthe generated templates to biometric templates stored in database 221(e.g., by looking up table 301, FIG. 3A). If no match is found, then theuser associated with the biometric template may be a new user.Subsequently, the endpoint 101 can enroll the new user by executing step404 from FIG. 4A. Alternatively, in cases where the match may not havebeen found due to low quality of the biometric captured (e.g., lowlighting conditions) then the endpoint 101 may decide to do nothing andgo back to step 405. Alternatively, the endpoint 101 can improve (e.g.,using a light source, zooming, etc.) the biometric capturing conditionsand try again. If a match is found, however, then this indicates thatthe identified user location may need to be updated (step 408). Forexample, if the user is identified as User A, then the endpoint 101 canupdate table 303 of FIG. 3C such that the current location field forUser A is changed to EP 1. Similarly, the end point 101 can also updatetable 304 of FIG. 3D such that the dialing information associated withUser A includes dialing information of endpoint 101.

In configurations where the processing of biometric data is fully orpartially carried out by the MCU 106 (FIG. 2D), the endpoint 101 canmerely collect biometrics such as images and voice of the users and sendthe biometrics to the MCU 106 for biometric template generation,biometric template matching, etc. The MCU 106 can then carry out theenrolment and update procedure on behalf of the endpoints. As discussedpreviously, the MCU 106 can host the biometric and location database221, or access the database from server 375 (shown in FIG. 5) storingthe database 221.

FIG. 4C shows an exemplary flowchart for making an ad-hocvideoconferencing call to a user. Step 410 provides a user at theendpoint 101 several ways to initiate a call. For example, in onescenario, the user can speak the name of the callee. In anotherscenario, the user may simply type in the name of the callee via a userinterface provided by the endpoint 101. In step 411 the endpoint 101 candetermine the identity of the callee. For example, when the callerspeaks the name of the callee, the endpoint 101 determines the identityof the callee by converting the voice into text using voice recognition.Voice recognition can be part of the audio processor 223 of thebiometric system 215 (FIG. 2C).

Once the identity of the callee is known, the endpoint 101 can accessthe database 221 to determine the location of the callee (step 412). Forexample, if the callee is User B, then the endpoint 101 can access thedatabase 221 and look up “User B” to determine his/her current location.For example, the endpoint 101 can look up “User B” in table 303, FIG.3C, to determine the endpoint where the User B is currently located (EP5), and then look up the dialing information (step 413) of the endpointEP 5 from table 302 in FIG. 3B. Endpoint 101 may also lookup table 304in FIG. 3D for User B to acquire the dialing information directly.Having acquired the dialing information of the endpoint where the calleeis located, the endpoint 101 can initiate a videoconferencing call (step414) using the acquired dialing information. In step 415, endpoint 101can establish a videoconferencing call with the callee's endpoint, whichallows the caller and the callee to carry out a face-to-faceconversation.

FIG. 5 shows an example in which User A 203 a at endpoint EP 2 102 caninitiate a videoconference call with User B 203 b. However, in thisexample, the database 221 can be located at a server 375 anywhere in thenetwork 110. User A 230 a need only know the identity of User B 230 b,and be able to convey this identity to the endpoint EP2 102. Forexample, User A 203 a can speak the name of User B, the audio 501 ofwhich can be captured by endpoint EP2 102. Endpoint EP2 102 can convertthe voice signal of the name of User B 203 b spoken by User A 203 a intotext, and send the text 502 to server 375. Server 375 can access thedatabase 221 (e.g., Tables 301-304 in FIGS. 3A-3D) to determine thecurrent location of User B 203 b. In this example, the database 221 canindicate that User B is located at endpoint EP5 105. The server 375 canthen return the dialing information of endpoint EP5 105 to endpoint EP2102, which, in turn, can use the dialing information to initiate avideoconference call with endpoint EP5 105. Similarly, if User A 203 awishes to initiate a videoconference call with User C 203 c, User A canspeak the name of User C 203 c, and the endpoint EP2 102 can query thedatabase 221 at server 375 to determine the location and dialinginformation of the current endpoint EP1 101 where User C 203 c islocated.

In the configuration where biometric processing is fully or partiallycarried out by the MCU 106, initiating a video call to a callee can becarried out in a way that is similar to the one shown in FIG. 5, exceptthat the identity of the callee can be sent to the MCU 106 instead ofthe server 375.

It should be noted that the endpoint 101 can carry out enrollment andupdates even while it is carrying out a request for an unscheduled videocall. In other words, steps detailed in FIGS. 3A (enrollment) and 3B(updating) can be carried out even when the endpoint is carrying outsteps detailed in FIGS. 3C and 3D. For example, referring to thescenario shown in FIG. 5, when EP 2 102 responds to User A's 203 arequest for initiating a video call with User B 203 b, EP 2 102 cansimultaneously carry out the update steps detailed in FIG. 4B to updatethe current location of User A 203 a to be EP 2. Similarly, User A 203 acan also be enrolled while the endpoint EP 2 102 is initiating a videocall requested by User A 203 a if the identity of User A 203 a was notpreviously stored in the database 221.

While the previous discussion showed maintaining a location informationthat can be repeatedly updated by endpoints, in one example, thelocation information can be eliminated (e.g., tables 303 and 304 ofFIGS. 3C and 3D) and only the biometric and dialing information (e.g.,tables 301 and 302 of FIGS. 3A and 3B) can be retained. In such ascenario, the endpoints can perform immediate determination of whether arequested callee is present near them. For example, referring again tothe example, of FIG. 5, once endpoint EP 2 102 receives a request, fromuser A 203 a, for a video call to User B 203 b, EP 2 102 can send abroadcast search request via its communication interface to eachendpoint in the system 100. The search request can include the identityof User B 203 b. An endpoint, upon receiving the search request, cancollect biometrics for any user that is near the endpoint, and match thecollected biometric templates with biometric templates of users storedin database 221 (e.g., table 301 in FIG. 3A). If a match is found, theendpoint where the match is found can reply to the EP 2 102 with amessage that the requested callee is present at that endpoint. The replycan also include the dialing information of the replying endpoint. Inthe example of FIG. 5, both EP 1 and EP 5 105 can collect biometric dataof User C 203 c and User B 203 b, respectively, upon receiving thesearch request from EP 2. Upon performing biometric template matching,EP 5 105 can reply to EP 2 102 with a message indicating that therequested callee User B 203 b is located at EP 5 105 along with dialinginformation of EP 5 105. EP 2 102 can subsequently initiate andestablish a videoconference call between User A 203 a and User B 203 busing the received dialing information. In this scenario, it may bebeneficial (but not required) in terms of performance to have biometrictemplates of all enrolled users (e.g., Table 301 in FIG. 3A) be locallypresent at each endpoint for faster access.

Thus, users can initiate an unscheduled videoconferencing call withother users merely by knowing their names. The endpoint 101 providesusers to communicate with each other in a manner that is not unlikestarting a face-to-face conversation. A user can approach an endpointand speak the name of the callee, and a few moments later an image ofthe callee appears on the display screen. The user need not remember andenter long IP addresses or dialing information of the callee.

In some cases, it may be possible that while the location database 221indicates that a user is located at a particular endpoint, the user maynot be present at the endpoint when another user initiates avideoconferencing call. This can occur, for example, when the user movesaway from an endpoint before an update is performed by the endpoint. Inone example, the endpoint 101 can detect whether the called user ispresent at the called endpoint, and if not, take additional actions toeither notify the called user of the received call or determine a newlocation of the called user. FIG. 6 shows a flowchart in which theendpoint 101 can establish an ad-hoc call (step 601) with anotherendpoint. For example, step 601 can be similar to step 415 shown in FIG.4C, in which step the endpoint 101 can establish a videoconference callwith the endpoint at which the callee is located. In step 602, theendpoint 101 can determine whether the callee is actually present at thecalled endpoint. This determination can be made in several ways. In oneexample, the caller may indicate to the endpoint 101 that it does notsee the callee in the video stream received from the called endpoint. Inanother example, the called endpoint can carry out face recognition todetermine if the callee is present in the captured video. In yet anotherexample, the endpoint 101 can access the location database 221 to checkwhether the location of the callee has changed between the time thedatabase was last examined and the time when the call was established.If the callee is present at the called endpoint, then endpoint 101 cancontinue with the call in step 603. However, if the callee is notpresent at the called endpoint, then in step 604 endpoint 101 candetermine alternate contact information for the callee.

FIG. 7 shows table 701 that includes alternate contact information ofusers. Table 701 is similar table 303 of FIG. 3C in that table 701 alsoincludes columns for User Identity (702), Current Location (703), andLast-Known Location (704). But table 701 also includes additionalcolumns corresponding to alternate contact information of the users. Forexample, column 705 can include mobile phone numbers of the users andcolumn 706 can include e-mail addresses of the users. Although notshown, table 701 can also include additional contact information, suchas pager number, internet chat ID, etc. In another example, table 701can also include public announcement contact information such as amessaging board, an audio-visual public announcement system within thecompany, etc. In other words, any information that can allow theendpoint 101 to contact the callee can be listed in table 701. Table 701can be stored in the database 221 and can be accessed by any endpoint innetwork 100.

Returning to the flowchart of FIG. 6, after determining alternatecontact information of the callee in step 604, endpoint 101 can send amessage (step 605) to the callee, which message can include notificationthat a video call is waiting for the callee at the called endpoint. Themessage can include the name and location of the caller, the name,location, and dialing information of the called endpoint, etc. Themessage can allow the callee to return to the endpoint he/she was lastlocated or go to another endpoint (e.g., the closest) to continue withthe video call.

The callee may choose to return to the called endpoint. In this case thevideoconference call can continue between the endpoint 101 and thecalled endpoint (in step 607). The callee may also choose to go to anendpoint other than the called endpoint. For example, the callee mayreceive the notification message in the form of a text message onhis/her mobile phone or handheld portable device (e.g., IPHONE®, IPAD®,etc.). If the mobile phone or the handheld device have videoconferencing capability, and the callee chooses to use it for thevideoconferencing call, the callee can log-in on the mobile phone orturn it on so that his/her image can be captured. The mobil device canthen update the location database 221 with the current location of thecallee (e.g., using update method described in FIG. 4B).

In step 608, the endpoint 101 can access the location database 221 todetermine whether any updates on the location of the callee have takenplace. If callee location has been updated to another endpoint, then theendpoint 101 can acquire the dialing information of that endpoint andinitiate a videoconference call (step 609). In this case the endpointcan end the previous call to the endpoint where the callee was not foundto be located. If however, the callee location is not updated, and thecallee does not return to the originally called endpoint, then theendpoint 101 can wait for a termination notification from the caller oruse a timer (which can be user definable e.g., 3-5 minutes) to time outand disconnect the call (in step 611).

The steps of FIG. 6 can also be carried out by the control module 254 ofthe MCU 106 (FIG. 2D) on behalf of the endpoint 101. In such a scenario,the control module 254 can establish a video call with the calledendpoint and determine whether the callee is present at that endpoint.If the callee is not present, then the control module 254 can carry outdetermining alternate contact location, sending message to the callee,and determining if the callee is relocated at another endpoint location.Endpoint 101, where the caller is located, can be put on hold during theduration the control module 254 is determining the new location of thecallee. If the callee is determined to be located at another endpoint(e.g., in step 608 of FIG. 6), then the endpoint 101 can be take offfrom a hold state and be connected to the another endpoint. If thecallee's location cannot be determined, then the control module 254 cansend a message to the endpoint 101 indicating so and terminate the callafter a timeout period.

While the above discussion focused on the caller making an unscheduledcall to a single callee, a person skilled in the art can appreciate thatthe endpoint 101 can allow the caller to make unscheduled calls tomultiple callees using the MCU 106.

The above description is illustrative and not restrictive. Manyvariations of the invention will become apparent to those skilled in theart upon review of this disclosure. The scope of the invention shouldtherefore be determined not with reference to the above description, butinstead with reference to the appended claims along with their fullscope of equivalents.

1. (canceled)
 2. A method comprising: storing a first biometric data setcorresponding to a first user identity, the first user identityassociated with a first conferencing endpoint; storing a secondbiometric data set corresponding to a second user identity, the seconduser identity associated with a second conferencing endpoint; capturinga third biometric data set at the first conferencing endpoint;performing a comparison between the third biometric data set and thefirst biometric data set; receiving a request at the first conferencingendpoint to place a call directed to the second user identity; andcalling the second conferencing endpoint using the first conferencingendpoint based, at least in part, on the comparison between the thirdbiometric data set and the first biometric data set.
 3. The method ofclaim 2, further comprising: capturing a fourth biometric data set atthe second conferencing endpoint; performing a comparison between thefourth biometric data set and the second biometric data set; andenabling the second conferencing endpoint to complete the call based, atleast in part, on the comparison between the fourth biometric data setand the second biometric data set.
 4. The method of claim 2, whereinstoring the first biometric data set and the second biometric data setcomprises storing the first biometric data set and the second biometricdata set at one or more servers.
 5. The method of claim 2, whereinstoring the first biometric data set comprises storing the firstbiometric data set at the first conferencing endpoint and storing thesecond biometric data set comprises storing the second biometric dataset at the second conferencing endpoint.
 6. The method of claim 2,wherein performing the comparison between the third biometric data setand the first biometric data set comprises using one or more of kernelclass-dependent feature analysis, tensor facial recognition, lineardiscriminant analysis, Bayesian intrapersonal-extrapersonalclassification, and Gabor filter graph matching.
 7. The method of claim2, wherein performing the comparison between the third biometric dataset and the first biometric data set comprises using one or more of ahidden Markov model and a Gaussian mixture model.
 8. The method of claim2, wherein capturing the third biometric data set at the firstconferencing endpoint comprises at least one of capturing facialinformation using a video sensor and capturing voice information usingan audio sensor.
 9. The method of claim 2, wherein at least one of thefirst conferencing endpoint and the second conferencing endpoint is avideo conferencing endpoint.
 10. The method of claim 2, whereinreceiving a request at the first conferencing endpoint to place the calldirected to the second user identity comprises receiving a request atthe first conferencing endpoint to place a video call directed to thesecond user identity.
 11. One or more non-transitory computer readablemedia storing instructions executable by one or more processors, theinstructions comprising instructions to: store a first biometric dataset corresponding to a first user identity, the first user identityassociated with a first conferencing endpoint; store a second biometricdata set corresponding to a second user identity, the second useridentity associated with a second conferencing endpoint; capture a thirdbiometric data set using the first conferencing endpoint; perform acomparison between the third biometric data set and the first biometricdata set; receive a request at the first conferencing endpoint to placea call directed to the second user identity; and call the secondconferencing endpoint using the first conferencing endpoint based, atleast in part, on the comparison between the third biometric data setand the first biometric data set.
 12. The one or more non-transitorycomputer readable media of claim 11, wherein the instructions furthercomprise instructions to: capture a fourth biometric data set using thesecond conferencing endpoint; perform a comparison between the fourthbiometric data set and the second biometric data set; and enable thesecond conferencing endpoint to complete the call based, at least inpart, on the comparison between the fourth biometric data set and thesecond biometric data set.
 13. The one or more non-transitory computerreadable media of claim 11, wherein the instructions to store the firstbiometric data set and the second biometric data set compriseinstructions to store the first biometric data set and the secondbiometric data set at one or more servers.
 14. The one or morenon-transitory computer readable media of claim 11, wherein theinstructions to store the first biometric data set comprise instructionsto store the first biometric data set at the first conferencing endpointand the instructions to store the second biometric data set comprise theinstructions to store the second biometric data set at the secondconferencing endpoint.
 15. The one or more non-transitory computerreadable media of claim 11, wherein the instructions to perform thecomparison between the third biometric data set and the first biometricdata set comprise instructions to perform one or more of kernelclass-dependent feature analysis, tensor facial recognition, lineardiscriminant analysis, Bayesian intrapersonal-extrapersonalclassification, and Gabor filter graph matching.
 16. The one or morenon-transitory computer readable media of claim 11, wherein theinstructions to perform the comparison between the third biometric dataset and the first biometric data set comprise instructions to utilizeone or more of a hidden Markov model and a Gaussian mixture model. 17.The one or more non-transitory computer readable media of claim 11,wherein the instructions to capture the third biometric data set at thefirst conferencing endpoint comprise instructions to capture facialinformation using a video sensor or capture voice information using anaudio sensor, or to both capture facial information using a video sensorand capture voice information using an audio sensor.
 18. The one or morenon-transitory computer readable media of claim 11, wherein theinstructions to call the second conferencing endpoint using the firstconferencing endpoint based, at least in part, on the comparison betweenthe third biometric data set and the first biometric data set furthercomprise instructions to: capture a fourth biometric data using aplurality of conferencing endpoints, the fourth biometric data setcomprising a fifth biometric data set; determine that the fifthbiometric data set corresponds to the second biometric data set; andidentify the second conferencing endpoint as that endpoint whichcaptured the fifth biometric data set.
 19. A teleconferencing systemcomprising one or more processing units, wherein the one of moreprocessing units are configured to: store a first biometric data setcorresponding to a first user identity, the first user identityassociated with a first conferencing endpoint; store a second biometricdata set corresponding to a second user identity, the second useridentity associated with a second conferencing endpoint; prompt captureof a third biometric data set at the first conferencing endpoint;perform a comparison between the third biometric data set and the firstbiometric data set; receive a request from the first conferencingendpoint to place a call directed to the second user identity; andenable the first conferencing endpoint to call the second conferencingendpoint based, at least in part, on the comparison between the thirdbiometric data set and the first biometric data set.
 20. Theteleconferencing system of claim 19, wherein the one or more processingunits are further configured to: prompt capture of a fourth biometricdata set at the second conferencing endpoint; perform a comparisonbetween the fourth biometric data set and the second biometric data set;and enable the second conferencing endpoint to complete the call based,at least in part, on the comparison between the fourth biometric dataset and the second biometric data set.
 21. The teleconferencing systemof claim 19, wherein the one or more processing units are furtherconfigured to store the first biometric data set and the secondbiometric data set at one or more servers.